• DocumentCode
    1784122
  • Title

    Robust minimun variance beamforming applied to ultrasound imaging in the presence of phase aberration

  • Author

    Xin-yuan Xia ; Ping Li ; Wen-tao Wu ; Xiao-hui Meng

  • Author_Institution
    Inst. of Acoust., Beijing, China
  • fYear
    2014
  • fDate
    Oct. 30 2014-Nov. 2 2014
  • Firstpage
    122
  • Lastpage
    125
  • Abstract
    Minimum variance (MV) adaptive beamforming has been applied in medical ultrasound imaging to improve lateral resolution, but standard MV method is quite sensitive to the perturbation of the received signal. Due to the inhomogeneity of human tissues, sound speed varies and there exists a certain amount of time-delay error for each channel which is referred to as phase aberration. A robust minimum variance adaptive beamforming method was proposed in order to avoid significant degradation under more practical circumstances. The sample covariance matrix was reconstructed with a forward-backward method. And the steering vector was estimated via maximizing the output beamformer power, which was turned into a quadratic convex optimization problem with proper constraints. The simulations with Field II showed that the proposed method was robust in the presence of phase aberration and could maintain its performance for improving imaging quality.
  • Keywords
    array signal processing; biological tissues; biomedical ultrasonics; covariance matrices; medical image processing; quadratic programming; covariance matrix; forward-backward method; human tissues; medical ultrasound imaging; phase aberration; quadratic convex optimization problem; robust minimum variance beamforming; sound speed; steering vector; time-delay error; Array signal processing; Biomedical imaging; Covariance matrices; Robustness; Ultrasonic imaging; Vectors; Adaptive beamforming; Phase aberration; Ultrasound imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA), 2014 Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6424-6
  • Type

    conf

  • DOI
    10.1109/SPAWDA.2014.6998541
  • Filename
    6998541